package org.eoti.ai.genetic.ga;

/**
 * The MIT License
 * <p/>
 * Copyright (c) 2009 Malachi de AElfweald (malachid@gmail.com)
 * <p/>
 * Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated
 * documentation files (the "Software"), to deal in the Software without restriction, including without limitation the
 * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to
 * permit persons to whom the Software is furnished to do so, subject to the following conditions:
 * <p/>
 * The above copyright notice and this permission notice shall be included in all copies or substantial portions of the
 * Software.
 * <p/>
 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE
 * WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
 * COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR
 * OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
 */

/**
 * A Fitness function determines how well a specific Chromosome solved the problem
 * it was attempting to solve. Generally, Fitness are 0.0-1.0, but this is not really
 * a requirement.
 *
 * Also, if an individual has multiple chromosomes, then we should have an overall fitness
 * that averages the fitness of all the individual scores -- but... keep in mind that we
 * may present that some problems are more important than others... IE: perhaps the chromosome
 * responsible for self-preservation is counted more than once.
 */
public class Fitness
{
	// @TODO
}
